What Constitutes Successful Goal Pursuit? Exploring the Relation Between Subjective and Objective Measures of Goal Progress
Bibliographic record
Abstract
Despite a rich literature on goals, the notion of successful goal pursuit remains somewhat unclear. Most research on personal goal pursuit relies on subjective measures of goal progress and research that uses objective measures (e.g., grade point average) often ignores individuals’ idiosyncratic goals. The present research investigated the relation between diverse measures of goal progress in the context of academic and weight loss goals using four datasets (total sample = 351). Overall, subjective measures were positively related to objective measures. The magnitudes of these associations varied across studies and were generally smaller than would be expected if the measures assessed the same construct (Rβ = .05–.39). These findings suggest that subjective and objective measures may reflect related but distinct constructs. The present research draws attention to an important topic in the goals literature and highlights the need for additional research on the conceptualization and operationalization of successful goal pursuit.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".